Products related to Bias:
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Bioinformatics Data Skills : Reproducible and Robust Research with Open Source Tools
Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings.With this practical guide, you'll learn how to use freely available open source tools to extract meaning from large complex biological data sets.At no other point in human history has our ability to understand life's complexities been so dependent on our skills to work with and analyze data.This intermediate-level book teaches the general computational and data skills you need to analyze biological data.If you have experience with a scripting language like Python, you're ready to get started.Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Process bioinformatics data with powerful Unix pipelines and data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data and range operations Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM Manage your bioinformatics project with the Git version control system Tackle tedious data processing tasks with with Bash scripts and Makefiles
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Big Data for the Public Good : Regulating Access to Public Sector Big Data for Research and Innovation
Can researchers and innovators use UK public sector data to produce knowledge that improves policy making, scrutinises government work and promotes the public interest?This book looks at interactions between UK public sector officials and researchers/innovators to shed light on barriers to data access and use.It asks: what are the frameworks that govern access to public sector big datasets for researchers and innovators?How are these frameworks applied in practice? What are the governance solutions for policy makers interested in harnessing the untapped potential of public sector big data to improve their policies and create public benefit?Public sector data is a valuable resource that can help researchers and innovators create knowledge and solutions that benefit society.As public bodies collect increasingly more data about us, UK policy makers try to maximise the use of public sector big data for the benefit of the public.But accessing this data is not easy. There are many legal, technical, and ethical barriers that prevent the use of public sector data for research and innovation.This book is for researchers and innovators who want to understand and overcome the barriers to accessing UK public sector data.It is also for policy makers who are interested in how public sector data can be used to improve decision-making, scrutinise government work, and promote the public interest.
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Unreliable : Bias, Fraud, and the Reproducibility Crisis in Biomedical Research
Reproducibility is fundamental to the scientific method.After reading a paper describing research findings, a scientist should be able to repeat the experiment and obtain the same results.Yet an alarming number—perhaps as high as 90 percent—of published biomedical research papers face challenges in independent replication.Such issues range from honest mistakes to outright fraud.The scope of this crisis, however, underscores deeper systemic issues within the scientific community: its culture, incentives, and institutions. In Unreliable, the distinguished scientist Csaba Szabo examines the causes and consequences of the reproducibility crisis in biomedical research, showing why the factors that encourage misconduct stem from flaws in real-world science.There are many culprits, including commonplace research methods and dubious statistical techniques.Academic career incentives, hypercompetition for grant funding, and a bias toward publishing positive results have exacerbated the problem.Deliberate data manipulation and fabricated findings churned out by “paper mills” are disturbingly common.Academic institutions and publishers, for their part, have perpetuated a culture of impunity. Szabo explores how these failures have hindered scientific progress and impeded the development of new treatments, and he introduces readers to the “science sleuths” who tirelessly uncover misconduct.He proposes comprehensive reforms, from scientific training to the grant system through the publication process, to address the root causes of the crisis.Written in clear language and leavened with a keen sense of irony, Unreliable is an essential account of the reproducibility crisis that gives readers an inside look at how science is actually done.
Price: 100.00 £ | Shipping*: 0.00 £ -
Unreliable : Bias, Fraud, and the Reproducibility Crisis in Biomedical Research
Reproducibility is fundamental to the scientific method.After reading a paper describing research findings, a scientist should be able to repeat the experiment and obtain the same results.Yet an alarming number—perhaps as high as 90 percent—of published biomedical research papers face challenges in independent replication.Such issues range from honest mistakes to outright fraud.The scope of this crisis, however, underscores deeper systemic issues within the scientific community: its culture, incentives, and institutions. In Unreliable, the distinguished scientist Csaba Szabo examines the causes and consequences of the reproducibility crisis in biomedical research, showing why the factors that encourage misconduct stem from flaws in real-world science.There are many culprits, including commonplace research methods and dubious statistical techniques.Academic career incentives, hypercompetition for grant funding, and a bias toward publishing positive results have exacerbated the problem.Deliberate data manipulation and fabricated findings churned out by “paper mills” are disturbingly common.Academic institutions and publishers, for their part, have perpetuated a culture of impunity. Szabo explores how these failures have hindered scientific progress and impeded the development of new treatments, and he introduces readers to the “science sleuths” who tirelessly uncover misconduct.He proposes comprehensive reforms, from scientific training to the grant system through the publication process, to address the root causes of the crisis.Written in clear language and leavened with a keen sense of irony, Unreliable is an essential account of the reproducibility crisis that gives readers an inside look at how science is actually done.
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Who is your Blackpink bias and bias wrecker and why?
My Blackpink bias is Lisa because of her incredible stage presence, powerful dancing, and unique fashion sense. She always brings a high level of energy and charisma to their performances. My bias wrecker is Jisoo because of her stunning visuals, sweet personality, and strong vocal abilities. She has a way of capturing my attention with her charm and talent.
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What is your Itzy bias and who is your bias-wrecker?
My Itzy bias is Lia, because I love her powerful vocals and stage presence. My bias-wrecker is Yuna, because she has a captivating and charismatic aura that always catches my attention. Both of them are incredibly talented and bring something unique to the group, making it hard to choose just one favorite member!
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Who is your bias?
As an AI language model, I do not have personal preferences or biases. My purpose is to provide information and assistance to the best of my abilities without any personal inclinations.
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'Exclusion due to bias?'
Exclusion due to bias refers to the act of leaving out or discriminating against individuals or groups based on preconceived notions, stereotypes, or prejudices. This can occur in various aspects of life, such as employment, education, housing, or social interactions. Exclusion due to bias can have detrimental effects on the individuals or groups being targeted, leading to feelings of marginalization, inequality, and injustice. It is important to address and challenge bias in order to create a more inclusive and equitable society.
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Heteronormative Bias
Sexuality and Gender Now uses a psychoanalytic approach to arrive at a more informed view of the experience and relationships of those whose sexuality and gender may not align with the heterosexual "norm".This book confronts the heteronormative bias dominant in psychoanalysis, using a combination of theoretical and clinical material, offering an important training tool as well as being relevant for practicing clinicians.The contributors address the shift clinicians must make not only to support their patients in a more informed and non-prejudicial way, but also to recognise their own need for support in developing their clinical thinking.They challenge assumptions, deconstruct theoretical ideas, extend psychoanalytic concepts, and, importantly, show how clinicians can attend to their pre-conscious assumptions.They also explore the issue of erotic transference and countertransference, which, if unaddressed, can limit the possibilities for supporting patients more fully to explore their sexuality and gender.Theories of psychosexuality have tended to become split off from the main field of psychoanalytic thought and practice or read from an assumed moral high ground of heteronormativity.The book specifically addresses this bias and introduces new ways of using psychoanalytic ideas.The contributors advocate a wider and more flexible attitude to sexuality in general, which can illuminate an understanding of all sexualities, including heterosexuality. Sexuality and Gender Now will be essential reading for professionals and students of psychoanalysis who want to broaden their understanding of sexuality and gender in their clinical practice beyond heteronormative assumptions.
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Bias Bungalows
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RF Blocker Bias Coaxial Feed Bias Tee 10MHz-6GHz Broadband Radio Frequency Microwave Coaxial Bias
RF Blocker Bias Coaxial Feed Bias Tee 10MHz-6GHz Broadband Radio Frequency Microwave Coaxial Bias
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RF Blocker Bias Coaxial Feed Bias Tee 10MHz-6GHz Broadband Radio Frequency Microwave Coaxial Bias
RF Blocker Bias Coaxial Feed Bias Tee 10MHz-6GHz Broadband Radio Frequency Microwave Coaxial Bias
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What is BTS's bias?
BTS's bias refers to the member of the group that a fan favors or supports the most. Each fan may have a different bias based on their personal preferences and connections with the members. The bias can change over time as fans get to know the members better and as the group releases new music and content. Overall, BTS's bias is a personal choice and can vary among their diverse fanbase.
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What does bias mean?
Bias refers to a prejudice or inclination towards a particular perspective, idea, or group, which may result in unfair treatment or judgment. It can manifest in various forms, such as personal biases based on individual experiences or societal biases rooted in cultural norms and stereotypes. Bias can impact decision-making, behavior, and attitudes, and it is important to recognize and address biases in order to promote fairness and equality.
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Who is your bias and who is your bias-wrecker in WayV?
My bias in WayV is Ten because of his incredible dancing skills and stage presence. My bias-wrecker in WayV is Xiaojun because of his powerful vocals and charming personality. Both of them never fail to impress me with their talents and charisma.
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Who is your bias and who is your bias-wrecker in ITZY?
My bias in ITZY is Yuna. I admire her talent, charisma, and stage presence. My bias-wrecker in ITZY is Ryujin. Her powerful dance skills and unique charm always catch my attention.
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